The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Report Printed On 

## [1] "2020-04-21"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "2561044 (up from 2472259 yesterday: 3.59 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "176984 (up from 169986 yesterday: 4.12 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.91



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 823786 39460 5.03 44845 2751 6.54 5.44
Spain 204178 3968 1.98 21282 430 2.06 10.42
Italy 183957 2729 1.51 24648 534 2.21 13.40
France 159297 2817 1.80 20829 537 2.65 13.08
Germany 148291 1226 0.83 5033 171 3.52 3.39
United Kingdom 130172 4316 3.43 17378 828 5.00 13.35
Turkey 95591 4611 5.07 2259 119 5.56 2.36
Iran 84802 1297 1.55 5297 88 1.69 6.25
China 83853 36 0.04 4636 0 0.00 5.53
Russia 52763 5642 11.97 456 51 12.59 0.86
Brazil 43079 2336 5.73 2741 154 5.95 6.36
Belgium 40956 973 2.43 5998 170 2.92 14.64
Canada 39402 1744 4.63 1909 183 10.60 4.84
Netherlands 34317 729 2.17 3929 165 4.38 11.45
Switzerland 28063 119 0.43 1478 49 3.43 5.27
Portugal 21379 516 2.47 762 27 3.67 3.56
India 20080 1541 8.31 645 53 8.95 3.21
Peru 17837 1512 9.26 484 39 8.76 2.71
Ireland 16040 388 2.48 730 43 6.26 4.55
Sweden 15322 545 3.69 1765 185 11.71 11.52
Austria 14873 78 0.53 491 21 4.47 3.30
Israel 13942 229 1.67 184 7 3.95 1.32
Saudi Arabia 11631 1147 10.94 109 6 5.83 0.94
Japan 11135 338 3.13 263 27 11.44 2.36
Chile 10832 325 3.09 147 8 5.76 1.36
Korea, South 10683 9 0.08 237 1 0.42 2.22
Ecuador 10398 270 2.67 520 13 2.56 5.00
Poland 9856 263 2.74 401 21 5.53 4.07
Pakistan 9565 1147 13.63 201 25 14.20 2.10
Romania 9242 306 3.42 498 20 4.18 5.39
Singapore 9125 1111 13.86 11 0 0.00 0.12
Mexico 8772 511 6.19 712 26 3.79 8.12
Denmark 7891 180 2.33 370 6 1.65 4.69
United Arab Emirates 7755 490 6.74 46 3 6.98 0.59
Norway 7191 35 0.49 182 1 0.55 2.53
Indonesia 7135 375 5.55 616 26 4.41 8.63
Czechia 7033 133 1.93 201 7 3.61 2.86
Belarus 6723 459 7.33 55 4 7.84 0.82
Serbia 6630 0 0.00 125 0 0.00 1.89
Philippines 6599 140 2.17 437 9 2.10 6.62
Australia 6547 0 0.00 67 0 0.00 1.02
Qatar 6533 518 8.61 9 0 0.00 0.14
Ukraine 6125 415 7.27 161 10 6.62 2.63
Malaysia 5482 57 1.05 92 3 3.37 1.68
Dominican Republic 5044 80 1.61 245 10 4.26 4.86
Panama 4658 191 4.28 136 10 7.94 2.92
Colombia 4149 172 4.32 196 7 3.70 4.72
Finland 4014 146 3.77 141 43 43.88 3.51
Luxembourg 3618 60 1.69 78 3 4.00 2.16
Egypt 3490 157 4.71 264 14 5.60 7.56
South Africa 3465 165 5.00 58 0 0.00 1.67
Bangladesh 3382 434 14.72 110 9 8.91 3.25
Morocco 3209 163 5.35 145 2 1.40 4.52
Argentina 3031 90 3.06 147 11 8.09 4.85
Algeria 2811 93 3.42 392 8 2.08 13.95
Thailand 2811 19 0.68 48 1 2.13 1.71
Moldova 2614 66 2.59 72 2 2.86 2.75
Greece 2401 156 6.95 121 5 4.31 5.04
Hungary 2098 114 5.75 213 14 7.04 10.15
Kuwait 2080 85 4.26 11 2 22.22 0.53
Kazakhstan 1995 143 7.72 19 0 0.00 0.95
Bahrain 1973 66 3.46 7 0 0.00 0.35
Croatia 1908 27 1.44 48 1 2.13 2.52
Iceland 1778 5 0.28 10 0 0.00 0.56
Uzbekistan 1678 51 3.13 6 1 20.00 0.36
Iraq 1602 28 1.78 83 1 1.22 5.18
Estonia 1552 17 1.11 43 3 7.50 2.77
Oman 1508 98 6.95 8 1 14.29 0.53
Azerbaijan 1480 44 3.06 20 1 5.26 1.35
New Zealand 1445 5 0.35 13 1 8.33 0.90
Armenia 1401 62 4.63 24 2 9.09 1.71
Lithuania 1350 24 1.81 38 1 2.70 2.81
Slovenia 1344 9 0.67 77 0 0.00 5.73
Bosnia and Herzegovina 1342 33 2.52 51 2 4.08 3.80
North Macedonia 1231 6 0.49 55 1 1.85 4.47
Slovakia 1199 26 2.22 14 1 7.69 1.17
Cameroon 1163 0 0.00 43 1 2.38 3.70
Cuba 1137 50 4.60 38 2 5.56 3.34
Afghanistan 1092 66 6.43 36 0 0.00 3.30
Ghana 1042 0 0.00 9 0 0.00 0.86

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 258361 5301 2.09 19104 493 2.65 7.39 13280.91 982.03 1 in 75
New Jersey 92387 3665 4.13 4753 257 5.72 5.14 10401.38 535.12 1 in 96
Massachusetts 41199 3122 8.20 1961 255 14.95 4.76 5928.34 282.18 1 in 169
California 35465 1779 5.28 1282 57 4.65 3.61 897.57 32.45 1 in 1114
Pennsylvania 35249 1335 3.94 1614 266 19.73 4.58 2753.40 126.07 1 in 363
Illinois 33059 1546 4.91 1468 119 8.82 4.44 2608.86 115.85 1 in 383
Michigan 32667 667 2.08 2575 107 4.34 7.88 3271.00 257.84 1 in 306
Florida 27869 810 2.99 867 45 5.47 3.11 1297.58 40.37 1 in 771
Louisiana 24854 331 1.35 1405 77 5.80 5.65 5346.33 302.23 1 in 187
Texas 20574 823 4.17 533 26 5.13 2.59 709.55 18.38 1 in 1409
Connecticut 20360 545 2.75 1423 92 6.91 6.99 5710.62 399.13 1 in 175
Georgia 19881 474 2.44 798 23 2.97 4.01 1872.49 75.16 1 in 534
Maryland 14193 509 3.72 652 70 12.03 4.59 2347.63 107.85 1 in 426
Ohio 13725 806 6.24 557 48 9.43 4.06 1174.17 47.65 1 in 852
Washington 12563 449 3.71 664 21 3.27 5.29 1649.79 87.20 1 in 606
Indiana 12097 409 3.50 635 58 10.05 5.25 1796.88 94.32 1 in 557
Colorado 10473 743 7.64 483 63 15.00 4.61 1818.63 83.87 1 in 550
Virginia 9630 640 7.12 324 24 8.00 3.36 1128.23 37.96 1 in 886
Tennessee 7394 156 2.16 157 5 3.29 2.12 1082.07 22.98 1 in 924
North Carolina 7134 239 3.47 245 27 12.39 3.43 680.20 23.36 1 in 1470
Missouri 6066 176 2.99 224 24 12.00 3.69 988.36 36.50 1 in 1012
Veteran Hospitals 5599 NA NA 357 NA NA 6.38 NA NA 1 in NA
Rhode Island 5500 410 8.06 171 16 10.32 3.11 5191.81 161.42 1 in 193
US Military 5335 NA NA 22 NA NA 0.41 NA NA 1 in NA
Alabama 5317 238 4.69 183 20 12.27 3.44 1084.40 37.32 1 in 922
Arizona 5256 188 3.71 208 17 8.90 3.96 690.23 27.31 1 in 1449
Mississippi 4716 204 4.52 183 14 8.28 3.88 1584.60 61.49 1 in 631
Wisconsin 4625 126 2.80 244 14 6.09 5.28 794.34 41.91 1 in 1259
South Carolina 4439 -7 -0.16 124 1 0.81 2.79 862.16 24.08 1 in 1160
Nevada 3937 107 2.79 163 4 2.52 4.14 1278.18 52.92 1 in 782
Iowa 3641 482 15.26 83 4 5.06 2.28 1154.02 26.31 1 in 867
Utah 3297 84 2.61 32 4 14.29 0.97 1028.40 9.98 1 in 972
Kentucky 3204 154 5.05 171 17 11.04 5.34 717.15 38.27 1 in 1394
District of Columbia 3098 171 5.84 112 7 6.67 3.62 4389.66 158.70 1 in 228
Delaware 2931 186 6.78 82 10 13.89 2.80 3009.97 84.21 1 in 332
Oklahoma 2807 127 4.74 164 21 14.69 5.84 709.38 41.45 1 in 1410
Minnesota 2567 97 3.93 160 17 11.89 6.23 455.17 28.37 1 in 2197
Kansas 2164 116 5.66 109 7 6.86 5.04 742.80 37.41 1 in 1346
Oregon 2004 47 2.40 78 3 4.00 3.89 475.14 18.49 1 in 2105
Arkansas 1990 17 0.86 42 1 2.44 2.11 659.42 13.92 1 in 1516
New Mexico 1971 0 0.00 58 0 0.00 2.94 939.99 27.66 1 in 1064
South Dakota 1755 70 4.15 8 1 14.29 0.46 1983.82 9.04 1 in 504
Idaho 1736 64 3.83 48 3 6.67 2.76 968.71 26.78 1 in 1032
Nebraska 1685 37 2.25 33 0 0.00 1.96 871.07 17.06 1 in 1148
New Hampshire 1490 43 2.97 42 0 0.00 2.82 1095.82 30.89 1 in 913
Puerto Rico 1298 46 3.67 64 1 1.59 4.93 406.43 20.04 1 in 2460
West Virginia 908 6 0.67 26 2 8.33 2.86 508.07 14.55 1 in 1968
Maine 888 13 1.49 36 1 2.86 4.05 660.61 26.78 1 in 1514
Vermont 818 2 0.25 40 2 5.26 4.89 1310.92 64.10 1 in 763
Federal Bureau of Prisons 816 NA NA 22 NA NA 2.70 NA NA 1 in NA
North Dakota 644 17 2.71 13 4 44.44 2.02 845.08 17.06 1 in 1183
Hawaii 586 2 0.34 10 0 0.00 1.71 413.88 7.06 1 in 2416
Wyoming 443 126 39.75 2 0 0.00 0.45 765.43 3.46 1 in 1306
Montana 437 4 0.92 12 2 20.00 2.75 408.88 11.23 1 in 2446
Alaska 329 8 2.49 9 0 0.00 2.74 449.73 12.30 1 in 2224

US Tested- Confirmed- Hospitalized Funnel (All States)

State Level Figures

State Tested Confirmed Hospitalized ConfirmationRate HospitalizationRate TestsPerMillPopl
New York 649325 258361 57103 39.79 22.10 33378.21
New Jersey 184826 92387 7594 49.99 8.22 20808.61
Massachusetts 175372 41199 3872 23.49 9.40 25235.19
California 300100 35465 4886 11.82 13.78 7595.12
Pennsylvania 166851 35249 2743 21.13 7.78 13033.21
Illinois 154997 33059 4776 21.33 14.45 12231.63
Michigan 117226 32667 3357 27.87 10.28 11738.03
Florida 277059 27869 4235 10.06 15.20 12899.82
Louisiana 142430 24854 1798 17.45 7.23 30638.05
Texas 205399 20574 1419 10.02 6.90 7083.73
Connecticut 64192 20360 1949 31.72 9.57 18004.72
Georgia 88140 19881 3779 22.56 19.01 8301.45
Maryland 73635 14193 3158 19.27 22.25 12179.77
Ohio 94239 13725 2779 14.56 20.25 8062.13
Washington 141011 12563 503 8.91 4.00 18517.79
Indiana 67264 12097 NA 17.98 NA 9991.36
Colorado 47466 10473 1880 22.06 17.95 8242.43
Virginia 58354 9630 1581 16.50 16.42 6836.61
Tennessee 108182 7394 760 6.83 10.28 15831.88
North Carolina 83331 7134 427 8.56 5.99 7945.30
Missouri 57120 6066 1001 10.62 16.50 9306.83
Veteran Hospitals NA 5599 NA NA NA NA
Rhode Island 39333 5500 576 13.98 10.47 37128.99
US Military NA 5335 NA NA NA NA
Alabama 48526 5317 699 10.96 13.15 9896.83
Arizona 55152 5256 637 9.53 12.12 7242.65
Mississippi 52364 4716 858 9.01 18.19 17594.55
Wisconsin 52461 4625 1252 8.82 27.07 9010.15
South Carolina 41277 4439 776 10.75 17.48 8016.95
Nevada 33055 3937 NA 11.91 NA 10731.60
Iowa 27615 3641 214 13.18 5.88 8752.58
Utah 72358 3297 277 4.56 8.40 22569.85
Kentucky 32820 3204 1059 9.76 33.05 7346.11
District of Columbia 14939 3098 402 20.74 12.98 21167.58
Delaware 16656 2931 263 17.60 8.97 17104.76
Oklahoma 44344 2807 561 6.33 19.99 11206.55
Minnesota 47697 2567 629 5.38 24.50 8457.47
Kansas 19101 2164 419 11.33 19.36 6556.45
Oregon 41128 2004 471 4.87 23.50 9751.20
Arkansas 27441 1990 291 7.25 14.62 9092.97
New Mexico 38755 1971 291 5.09 14.76 18482.67
South Dakota 12815 1755 100 13.69 5.70 14485.81
Idaho 17660 1736 157 9.83 9.04 9854.55
Nebraska 16372 1685 NA 10.29 NA 8463.57
New Hampshire 14339 1490 206 10.39 13.83 10545.62
Puerto Rico 10087 1298 NA 12.87 NA 3158.41
West Virginia 22763 908 85 3.99 9.36 12737.06
Maine 14964 888 139 5.93 15.65 11132.17
Vermont 13111 818 41 6.24 5.01 21011.59
Federal Bureau of Prisons NA 816 NA NA NA NA
North Dakota 14987 644 54 4.30 8.39 19666.38
Hawaii 24696 586 55 2.37 9.39 17442.25
Wyoming 7621 443 52 5.81 11.74 13167.83
Montana 11241 437 59 3.89 13.50 10517.62
Alaska 11119 329 42 2.96 12.77 15199.34

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 5218 552 11.83 722 13.84 4245 251 19 8.19 4.81
Gujarat 2178 239 12.33 139 6.38 1949 90 19 26.76 4.13
Delhi 2156 75 3.60 611 28.34 1498 47 0 0.00 2.18
Rajasthan 1735 159 10.09 274 15.79 1435 26 1 4.00 1.50
Tamil Nadu 1596 76 5.00 635 39.79 943 18 1 5.88 1.13
Madhya Pradesh 1552 67 4.51 148 9.54 1324 80 4 5.26 5.15
Uttar Pradesh 1337 153 12.92 162 12.12 1154 21 3 16.67 1.57
Telangana 928 56 6.42 194 20.91 711 23 0 0.00 2.48
Andhra Pradesh 757 35 4.85 96 12.68 639 22 2 10.00 2.91
Kerala 426 19 4.67 307 72.07 117 2 0 0.00 0.47
Karnataka 418 10 2.45 129 30.86 272 17 1 6.25 4.07
West Bengal 392 53 15.63 73 18.62 304 15 3 25.00 3.83
Jammu and Kashmir 380 12 3.26 81 21.32 294 5 0 0.00 1.32
Haryana 255 4 1.59 147 57.65 105 3 0 0.00 1.18
Punjab 251 6 2.45 49 19.52 186 16 0 0.00 6.37
Bihar 126 13 11.50 42 33.33 82 2 0 0.00 1.59
Odisha 79 5 6.76 29 36.71 49 1 0 0.00 1.27
Jharkhand 46 4 9.52 4 8.70 40 2 0 0.00 4.35
Uttarakhand 46 0 0.00 19 41.30 27 0 0 NaN 0.00
Himachal Pradesh 39 0 0.00 16 41.03 21 2 0 0.00 5.13
Chhattisgarh 36 0 0.00 25 69.44 11 0 0 NaN 0.00
Assam 35 0 0.00 19 54.29 15 1 0 0.00 2.86
Chandigarh 27 1 3.85 14 51.85 13 0 0 NaN 0.00
Ladakh 18 0 0.00 14 77.78 4 0 0 NaN 0.00
Andaman and Nicobar Islands 17 1 6.25 11 64.71 6 0 0 NaN 0.00
Meghalaya 12 1 9.09 0 0.00 11 1 0 0.00 8.33
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Puducherry 7 0 0.00 4 57.14 3 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Tripura 2 0 0.00 1 50.00 1 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Dadra and Nagar Haveli 0 0 NaN 0 NaN 0 0 0 NaN NaN
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 277197 67931 960 1.43 24.51 9805 851 33978 12579 18.52
Emilia-Romagna 134878 23092 225 0.98 17.12 3045 282 13244 3147 13.63
Piemonte 105434 21955 606 2.84 20.82 3116 293 14811 2485 11.32
Veneto 268069 16404 277 1.72 6.12 1230 177 10077 1154 7.03
Toscana 109925 8603 96 1.13 7.83 833 171 6622 686 7.97
Liguria 34186 6764 95 1.42 19.79 914 94 3463 990 14.64
Lazio 100031 5895 80 1.38 5.89 1380 184 4402 363 6.16
Marche 44332 5877 51 0.88 13.26 784 78 3218 834 14.19
Campania 53548 4135 61 1.50 7.72 532 58 2946 317 7.67
Puglia 45984 3622 55 1.54 7.88 569 65 2812 351 9.69
P.A. Trento 26610 3614 24 0.67 13.58 254 38 1909 376 10.40
Sicilia 55093 2835 76 2.75 5.15 514 37 2259 206 7.27
Friuli Venezia Giulia 48500 2792 17 0.61 5.76 139 21 1322 241 8.63
Abruzzo 29906 2667 55 2.11 8.92 318 35 2067 271 10.16
P.A. Bolzano 31987 2410 16 0.67 7.53 159 20 1536 251 10.41
Umbria 26639 1353 4 0.30 5.08 107 22 407 60 4.43
Sardegna 15886 1236 8 0.65 7.78 112 21 837 93 7.52
Valle d’Aosta 4911 1093 5 0.46 22.26 99 8 522 126 11.53
Calabria 25440 1047 9 0.87 4.12 133 7 819 76 7.26
Basilicata 7470 350 8 2.34 4.69 64 7 245 24 6.86
Molise 4124 282 1 0.36 6.84 27 2 213 18 6.38

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 20126 807 4.18 1044 105 11.18 5.19 2357.32 122.28 1 in 424
Ontario 12715 652 5.40 694 70 11.22 5.46 864.27 47.17 1 in 1157
Alberta 3095 187 6.43 61 2 3.39 1.97 701.31 13.82 1 in 1426
British Columbia 1724 77 4.68 87 5 6.10 5.05 337.32 17.02 1 in 2965
Nova Scotia 737 16 2.22 10 1 11.11 1.36 754.00 10.23 1 in 1326
Saskatchewan 320 4 1.27 4 0 0.00 1.25 270.80 3.39 1 in 3693
Newfoundland and Labrador 257 0 0.00 3 0 0.00 1.17 492.94 5.75 1 in 2029
Manitoba 255 1 0.39 6 0 0.00 2.35 185.12 4.36 1 in 5402
New Brunswick 118 0 0.00 0 0 NaN 0.00 151.28 0.00 1 in 6610
Prince Edward Island 26 0 0.00 0 0 NaN 0.00 164.39 0.00 1 in 6083
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1582 8 0.51
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1029 4 0.39
Hunan 1019 4 0.39
Anhui 991 6 0.61
Jiangxi 937 1 0.11
Heilongjiang 913 13 1.42
Shandong 787 7 0.89
Jiangsu 653 0 0.00
Shanghai 638 7 1.10
Beijing 593 8 1.35
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 355 1 0.28
Hebei 328 6 1.83
Shaanxi 277 3 1.08
Guangxi 254 2 0.79
Shanxi 197 0 0.00
Inner Mongolia 194 1 0.52
Tianjin 189 3 1.59
Yunnan 184 2 1.09
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 106 1 0.94
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 2517.68 137.06 1 in 397
Spain 4375.87 456.11 1 in 229
Italy 3041.62 407.54 1 in 329
France 2377.92 310.93 1 in 421
Germany 1791.17 60.79 1 in 558
United Kingdom 1959.24 261.56 1 in 510
Turkey 1182.91 27.95 1 in 845
Iran 1044.87 65.27 1 in 957
China 60.50 3.34 1 in 16529
Russia 365.14 3.16 1 in 2739
Brazil 205.82 13.10 1 in 4859
Belgium 3592.63 526.14 1 in 278
Canada 1048.20 50.78 1 in 954
Netherlands 1997.50 228.70 1 in 501
Switzerland 3274.56 172.46 1 in 305
Portugal 2077.65 74.05 1 in 481
India 15.00 0.48 1 in 66683
Peru 554.46 15.05 1 in 1804
Ireland 3320.91 151.14 1 in 301
Sweden 1514.03 174.41 1 in 660

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 144190 14887 10.32
Nassau New York 31079 1390 4.47
Suffolk New York 28701 888 3.09
Westchester New York 24656 809 3.28
Cook Illinois 23181 1002 4.32
Los Angeles California 15153 663 4.38
Wayne Michigan 13912 1148 8.25
Bergen New Jersey 13356 787 5.89
Hudson New Jersey 11221 636 5.67
Essex New Jersey 11128 751 6.75
Miami-Dade Florida 10056 233 2.32
Philadelphia Pennsylvania 10028 394 3.93
Union New Jersey 9972 387 3.88
Middlesex Massachusetts 9621 428 4.45
Rockland New York 9568 401 4.19
Suffolk Massachusetts 8669 285 3.29
Passaic New Jersey 8479 263 3.10
Fairfield Connecticut 8472 544 6.42
Middlesex New Jersey 8346 345 4.13
Orange New York 7029 231 3.29
Oakland Michigan 6306 506 8.02
Orleans Louisiana 6169 344 5.58
Jefferson Louisiana 5802 288 4.96
Veteran Hospitals 5599 1 0.02
Veteran Hospitals 5599 13 0.23
Veteran Hospitals 5599 1 0.02
Veteran Hospitals 5599 0 0.00
Veteran Hospitals 5599 0 0.00
Veteran Hospitals 5599 1 0.02
Veteran Hospitals 5599 0 0.00
Veteran Hospitals 5599 2 0.04
Veteran Hospitals 5599 1 0.02
Veteran Hospitals 5599 2 0.04
Veteran Hospitals 5599 22 0.39
Veteran Hospitals 5599 0 0.00
Veteran Hospitals 5599 7 0.13
Veteran Hospitals 5599 20 0.36
Veteran Hospitals 5599 0 0.00
Veteran Hospitals 5599 357 6.38
Veteran Hospitals 5599 0 0.00
Veteran Hospitals 5599 12 0.21
Essex Massachusetts 5521 245 4.44
New Haven Connecticut 5493 322 5.86
King Washington 5293 360 6.80
Harris Texas 5143 79 1.54
Ocean New Jersey 4868 222 4.56
Monmouth New Jersey 4787 230 4.80
Macomb Michigan 4544 445 9.79
Morris New Jersey 4236 269 6.35
Marion Indiana 4176 206 4.93

Overall US Choropleth Map

Choropleths are an ideal way to visualize the COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc